Modeling Psychophysical Data In R

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Modeling Psychophysical Data in R

Author : Kenneth Knoblauch
Publisher : Springer Science & Business Media
ISBN 13 : 1461444756
Total Pages : 376 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Modeling Psychophysical Data in R by : Kenneth Knoblauch

Download or read book Modeling Psychophysical Data in R written by Kenneth Knoblauch and published by Springer Science & Business Media. This book was released on 2012-09-02 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data. R is an open-source programming language that is widely used by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities for optimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recently developed statistical methods. This book does not assume that the reader is familiar with R, and a little experience with any programming language is all that is needed to appreciate this book. There are large numbers of examples of R in the text and the source code for all examples is available in an R package MPDiR available through R. Kenneth Knoblauch is a researcher in the Department of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and Brain Research Institute and associated with the University Claude Bernard, Lyon 1, in France. Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematical models to perception, motor control and decision making.

Novel Applications of Bayesian and Other Models in Translational Neuroscience

Author : Reza Rastmanesh
Publisher : Frontiers Media SA
ISBN 13 : 2832548822
Total Pages : 169 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Novel Applications of Bayesian and Other Models in Translational Neuroscience by : Reza Rastmanesh

Download or read book Novel Applications of Bayesian and Other Models in Translational Neuroscience written by Reza Rastmanesh and published by Frontiers Media SA. This book was released on 2024-05-06 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been proposed that the brain works in a Bayesian manner, and based on the free-energy principle, the brain's main function is to reduce environmental uncertainty; this is a proposed model as a universal principle governing adaptive brain function and structure. There are many pathophysiological, and clinical observations that can be easily explained by predictive Bayesian brain models. However, the novel applications of Bayesian models in translational neuroscience has been understudied and underreported. For example, variational Bayesian mixed-effects inference has been successfully tested for classification studies. A multi-task Bayesian compressive sensing approach to simultaneously estimate the full posterior of the CSA-ODF and diffusion-weighted volumes from multi-shell HARDI acquisitions has been recently publishe

Data Wrangling with R

Author : Bradley C. Boehmke, Ph.D.
Publisher : Springer
ISBN 13 : 3319455990
Total Pages : 237 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Data Wrangling with R by : Bradley C. Boehmke, Ph.D.

Download or read book Data Wrangling with R written by Bradley C. Boehmke, Ph.D. and published by Springer. This book was released on 2016-11-17 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and dates The difference between different data structures and how to create, add additional components to, and subset each data structure How to acquire and parse data from locations previously inaccessible How to develop functions and use loop control structures to reduce code redundancy How to use pipe operators to simplify code and make it more readable How to reshape the layout of data and manipulate, summarize, and join data sets

Psychophysics

Author : Frederick A.A. Kingdom
Publisher : Academic Press
ISBN 13 : 0080993818
Total Pages : 348 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Psychophysics by : Frederick A.A. Kingdom

Download or read book Psychophysics written by Frederick A.A. Kingdom and published by Academic Press. This book was released on 2016-01-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychophysics: A Practical Introduction, Second Edition, is the primary scientific tool for understanding how the physical world of colors, sounds, odors, movements, and shapes translates into the sensory world of sight, hearing, touch, taste, and smell; in other words, how matter translates into mind. This timely revision provides a unique introduction to the techniques for researching and understanding how the brain translates the external physical world to the internal world of sensation. The revision expands and refines coverage of the basic tools of psychophysics research and better integrates the theory with the supporting software. The new edition continues to be the only book to combine, in a single volume, the principles underlying the science of psychophysical measurement and the practical tools necessary to analyze data from psychophysical experiments. The book, written in a tutorial style, will appeal to new researchers as well as to seasoned veterans. This introduction to psychophysics research methods will be of interest to students, scholars and researchers within sensory neuroscience, vision research, behavioral neuroscience, and the cognitive sciences. - Presents a large variety of analytical methods explained for the non-expert - Provides a novel classification scheme for psychophysics experiments - Disseminates the pros and cons of different psychophysical procedures - Contains practical tips for designing psychophysical experiments

Applied Survival Analysis Using R

Author : Dirk F. Moore
Publisher : Springer
ISBN 13 : 3319312456
Total Pages : 245 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Applied Survival Analysis Using R by : Dirk F. Moore

Download or read book Applied Survival Analysis Using R written by Dirk F. Moore and published by Springer. This book was released on 2016-05-11 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis. Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics.

Heart Rate Variability Analysis with the R package RHRV

Author : Constantino Antonio García Martínez
Publisher : Springer
ISBN 13 : 3319653555
Total Pages : 173 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Heart Rate Variability Analysis with the R package RHRV by : Constantino Antonio García Martínez

Download or read book Heart Rate Variability Analysis with the R package RHRV written by Constantino Antonio García Martínez and published by Springer. This book was released on 2017-09-18 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data.

Bayesian Cost-Effectiveness Analysis with the R package BCEA

Author : Gianluca Baio
Publisher : Springer
ISBN 13 : 3319557181
Total Pages : 181 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Bayesian Cost-Effectiveness Analysis with the R package BCEA by : Gianluca Baio

Download or read book Bayesian Cost-Effectiveness Analysis with the R package BCEA written by Gianluca Baio and published by Springer. This book was released on 2017-05-25 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.

Computational Modeling of Cognition and Behavior

Author : Simon Farrell
Publisher : Cambridge University Press
ISBN 13 : 1108548245
Total Pages : 486 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Computational Modeling of Cognition and Behavior by : Simon Farrell

Download or read book Computational Modeling of Cognition and Behavior written by Simon Farrell and published by Cambridge University Press. This book was released on 2018-02-22 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.

ggplot2

Author : Hadley Wickham
Publisher : Springer
ISBN 13 : 3319242776
Total Pages : 266 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis ggplot2 by : Hadley Wickham

Download or read book ggplot2 written by Hadley Wickham and published by Springer. This book was released on 2016-06-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

Haptics: Neuroscience, Devices, Modeling, and Applications

Author : Malika Auvray
Publisher : Springer
ISBN 13 : 3662441969
Total Pages : 518 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Haptics: Neuroscience, Devices, Modeling, and Applications by : Malika Auvray

Download or read book Haptics: Neuroscience, Devices, Modeling, and Applications written by Malika Auvray and published by Springer. This book was released on 2014-10-14 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8618 and 8619 constitutes the refereed proceedings of the 9th International Conference EuroHaptics 2014, held in Versailles, France, in June 2014. The 118 papers (36 oral presentations and 82 poster presentations) presented were carefully reviewed and selected from 183 submissions. Furthermore, 27 demos were exhibited, each of them resulting in a short paper included in the volumes. These proceedings reflect the multidisciplinary nature of EuroHaptics and cover topics such as human-computer interaction, human-robot interactions, neuroscience, perception and psychophysics, biomechanics and motor control, modelling and simulation; and a broad range of applications in medicine, rehabilitation, art, and design.

Spatial Microsimulation with R

Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 1315360667
Total Pages : 254 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Spatial Microsimulation with R by : Robin Lovelace

Download or read book Spatial Microsimulation with R written by Robin Lovelace and published by CRC Press. This book was released on 2017-09-07 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.

Simulation and Inference for Stochastic Processes with YUIMA

Author : Stefano M. Iacus
Publisher : Springer
ISBN 13 : 3319555693
Total Pages : 277 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Simulation and Inference for Stochastic Processes with YUIMA by : Stefano M. Iacus

Download or read book Simulation and Inference for Stochastic Processes with YUIMA written by Stefano M. Iacus and published by Springer. This book was released on 2018-06-01 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments and applications to real data. Although these processes have been originally proposed in physics and more recently in finance, they are becoming popular also in biology due to the fact the time course experimental data are now available. The YUIMA package, available on CRAN, can be freely downloaded and this companion book will make the user able to start his or her analysis from the first page.

Learn ggplot2 Using Shiny App

Author : Keon-Woong Moon
Publisher : Springer
ISBN 13 : 3319530194
Total Pages : 356 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Learn ggplot2 Using Shiny App by : Keon-Woong Moon

Download or read book Learn ggplot2 Using Shiny App written by Keon-Woong Moon and published by Springer. This book was released on 2017-04-13 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. This manual—"integrating" R, ggplot2, and Shiny—introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone. Learn ggplot2 Using Shiny App allows users to Make publication-ready plots in minutes without coding Download plots with desired width, height, and resolution Plot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics

The Oxford Handbook of Human Memory, Two Volume Pack

Author : Michael J. Kahana
Publisher : Oxford University Press
ISBN 13 : 0197746144
Total Pages : 2426 pages
Book Rating : 4.1/5 (977 download)

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Book Synopsis The Oxford Handbook of Human Memory, Two Volume Pack by : Michael J. Kahana

Download or read book The Oxford Handbook of Human Memory, Two Volume Pack written by Michael J. Kahana and published by Oxford University Press. This book was released on 2024-04-26 with total page 2426 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Human Memory provides an authoritative overview of the science of human memory, its application to clinical disorders, and its broader implications for learning and memory in real-world contexts. Organized into two volumes and eleven sections, the Handbook integrates behavioral, neural, and computational evidence with current theories of how we learn and remember. Overall, The Oxford Handbook of Human Memory documents the current state of knowledge in the field and provides a roadmap for the next generation of memory scientists, established peers, and practitioners.

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119170141
Total Pages : 1250 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology by :

Download or read book Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology written by and published by John Wiley & Sons. This book was released on 2018-02-12 with total page 1250 pages. Available in PDF, EPUB and Kindle. Book excerpt: V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.

New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes

Author : F. Gregory Ashby
Publisher : Cambridge University Press
ISBN 13 : 1108905099
Total Pages : 575 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes by : F. Gregory Ashby

Download or read book New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes written by F. Gregory Ashby and published by Cambridge University Press. This book was released on 2023-03-31 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made both in traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The third volume provides up-to-date, foundational chapters on early vision, psychophysics and scaling, multisensory integration, learning and memory, cognitive control, approximate Bayesian computation, and encoding models in neuroimaging.

Timing and Time Perception: Procedures, Measures, & Applications

Author :
Publisher : BRILL
ISBN 13 : 9004280200
Total Pages : 372 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Timing and Time Perception: Procedures, Measures, & Applications by :

Download or read book Timing and Time Perception: Procedures, Measures, & Applications written by and published by BRILL. This book was released on 2018-04-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Timing and Time Perception: Procedures, Measures, and Applications is a one-of-a-kind, collective effort to present the most utilized and known methods on timing and time perception. Specifically, it covers methods and analysis on circadian timing, synchrony perception, reaction/response time, time estimation, and alternative methods for clinical/developmental research. The book includes experimental protocols, programming code, and sample results and the content ranges from very introductory to more advanced so as to cover the needs of both junior and senior researchers. We hope that this will be the first step in future efforts to document experimental methods and analysis both in a theoretical and in a practical manner. Contributors are: Patricia V. Agostino, Rocío Alcalá-Quintana, Fuat Balcı, Karin Bausenhart, Richard Block, Ivana L. Bussi, Carlos S. Caldart, Mariagrazia Capizzi, Xiaoqin Chen, Ángel Correa, Massimiliano Di Luca, Céline Z. Duval, Mark T. Elliott, Dagmar Fraser, David Freestone, Miguel A. García-Pérez, Anne Giersch, Simon Grondin, Nori Jacoby, Florian Klapproth, Franziska Kopp, Maria Kostaki, Laurence Lalanne, Giovanna Mioni, Trevor B. Penney, Patrick E. Poncelet, Patrick Simen, Ryan Stables, Rolf Ulrich, Argiro Vatakis, Dominic Ward, Alan M. Wing, Kieran Yarrow, and Dan Zakay.